☆46Nov 10, 2019Updated 6 years ago
Alternatives and similar repositories for MemGuard
Users that are interested in MemGuard are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆23Aug 15, 2022Updated 3 years ago
- Processed datasets that we have used in our research☆15Apr 30, 2020Updated 6 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆133Apr 9, 2024Updated 2 years ago
- A repo to download and preprocess the Purchase100 dataset extracted from Kaggle: Acquire Valued Shoppers Challenge☆12Jun 21, 2021Updated 4 years ago
- ☆32Sep 2, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for the paper: Label-Only Membership Inference Attacks☆67Sep 11, 2021Updated 4 years ago
- ☆25Jan 20, 2019Updated 7 years ago
- ☆24Dec 15, 2018Updated 7 years ago
- Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".☆16Dec 1, 2021Updated 4 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Nov 25, 2019Updated 6 years ago
- Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …☆13Sep 6, 2023Updated 2 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆84Nov 22, 2021Updated 4 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆198Nov 15, 2017Updated 8 years ago
- Official code for the paper "Membership Inference Attacks Against Recommender Systems" (ACM CCS 2021)☆21Oct 8, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Public implementation of ICML'19 paper "White-box vs Black-box: Bayes Optimal Strategies for Membership Inference"☆18May 28, 2020Updated 5 years ago
- Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Apr 5, 2021Updated 5 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Jan 28, 2019Updated 7 years ago
- Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020☆18Nov 11, 2021Updated 4 years ago
- ☆13Sep 26, 2024Updated last year
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆102Nov 2, 2019Updated 6 years ago
- An awesome list of papers on privacy attacks against machine learning☆634Mar 18, 2024Updated 2 years ago
- Code for Auditing DPSGD☆39Feb 15, 2022Updated 4 years ago
- ☆19Mar 6, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆22Sep 17, 2024Updated last year
- A library for running membership inference attacks against ML models☆150Dec 8, 2022Updated 3 years ago
- Membership inference against Federated learning.☆10May 30, 2021Updated 4 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆10Jun 18, 2019Updated 6 years ago
- Differential Privacy Protection against MembershipInference Attack on Machine Learning for Genomic Data☆19Aug 4, 2020Updated 5 years ago
- verifying machine unlearning by backdooring☆20Mar 25, 2023Updated 3 years ago
- Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)☆46Apr 22, 2022Updated 4 years ago
- ☆25Nov 14, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆711Apr 26, 2025Updated last year
- ☆12Dec 9, 2020Updated 5 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆46Feb 12, 2019Updated 7 years ago
- The code for our Updates-Leak paper☆17Jul 23, 2020Updated 5 years ago
- [USENIX Security'24] Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning☆19Apr 28, 2025Updated last year
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆59May 12, 2019Updated 6 years ago
- ☆13Apr 12, 2022Updated 4 years ago